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<div class="title">DNN Vision Library (jetson-inference)</div>  </div>
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<p>C++ runtime library for supporting deep vision neural network models and inferencing with TensorRT.  
<a href="#details">More...</a></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="groups"></a>
Modules</h2></td></tr>
<tr class="memitem:group__tensorNet"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__tensorNet.html">tensorNet</a></td></tr>
<tr class="memdesc:group__tensorNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">DNN abstract base class that provides TensorRT functionality underneath. <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:group__imageNet"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__imageNet.html">imageNet</a></td></tr>
<tr class="memdesc:group__imageNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Image recognition DNN (GoogleNet, AlexNet, ResNet) <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:group__detectNet"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__detectNet.html">detectNet</a></td></tr>
<tr class="memdesc:group__detectNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Object detection DNN (SSD, DetectNet) <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:group__segNet"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__segNet.html">segNet</a></td></tr>
<tr class="memdesc:group__segNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Semantic segmentation DNN (FCN or Fully-Convolutional Networks) <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:group__homographyNet"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__homographyNet.html">homographyNet</a></td></tr>
<tr class="memdesc:group__homographyNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Homography estimation DNN for registering and aligning images. <br /></td></tr>
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<tr class="memitem:group__superResNet"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__superResNet.html">superResNet</a></td></tr>
<tr class="memdesc:group__superResNet"><td class="mdescLeft">&#160;</td><td class="mdescRight">Super resolution DNN for upscaling images. <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<p>C++ runtime library for supporting deep vision neural network models and inferencing with TensorRT. </p>
<p>Available network primitives currently include:</p><ul>
<li><a class="el" href="group__imageNet.html">imageNet</a> for image recognition</li>
<li><a class="el" href="group__detectNet.html">detectNet</a> for object detection + localization</li>
<li><a class="el" href="group__segNet.html">segNet</a> for segmentation</li>
<li><a class="el" href="group__homographyNet.html">homographyNet</a> for homography estimation</li>
<li><a class="el" href="group__superResNet.html">superResNet</a> for super-resolution upsampling</li>
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<p>The different primitives each inherit from the shared <a class="el" href="group__tensorNet.html">tensorNet</a> object. </p>
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